Treasury Finance AI and Quantitative Analytics, Americas
Build AI-powered tools, quantitative models, autonomous agents, and analytics to automate treasury workflows, enhance risk management, and deliver insights at Stripe. Requires 6-8 years experience, Python proficiency, AI/ML frameworks, and treasury/finance expertise.
Salary not listed
On-site6+ YOEML Engineering
About the role
Responsibilities
Apply treasury and finance domain expertise to identify high-impact opportunities where AI can be integrated with quantitative tools to solve complex treasury challenges.
Build AI-powered tools and artificial intelligence solutions to automate treasury workflows, enhance risk management, and scale operations.
Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) that provide real-time treasury insights and actionable intelligence.
Work across Treasury Finance and partner teams to scope AI-driven solutions that allow optimization and scaling of complex, data-driven financial workflows.
Develop targeted observability and performance analytics for core treasury workstreams, providing key insights to senior leadership.
Leverage heterogeneous and unstructured data to develop business insights and recommendations.
Collaborate with data scientists and engineers to build data pipelines, models, and infrastructure for core treasury workstreams.
Minimum Requirements
Bachelor’s degree in finance, mathematics, statistics, economics, engineering, or a related technical field.
6–8 years of work experience in software development, data science, or treasury and finance roles.
Working familiarity with financial risk and capital markets concepts.
Proficiency in Python and experience with AI/ML frameworks including PyTorch and TensorFlow.
Experience with Large Language Model (LLM) frameworks such as LangChain, LangGraph, or similar tools for building AI applications and agentic systems.
Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI.
Results-oriented, with a focus on delivering impact in a fast-paced environment.
Excellent communication skills for collaborating with finance, product, and engineering teams.
Highly organized, with attention to detail and the ability to manage tight deadlines.
Preferred Qualifications
Familiarity with the payments industry and fintech landscape.
Experience with Databricks and cloud platforms (AWS, GCP, Azure).
Good understanding of development processes and best practices across engineering standards, code reviews, and testing.
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